Top Senior Data Engineer Jobs in Atlanta, GA

As a Senior Associate in Data Engineering at PwC, you will design and implement data architecture strategies, analyze complex issues, mentor junior members, and build client relationships while ensuring adherence to project standards.

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

As a Manager in Managed Services, you'll lead data ecosystems projects, mentor juniors, manage client accounts, and deliver data strategies to optimize operations and drive insights for clients.

The role involves designing, building, and maintaining ERP data pipelines, ensuring their reliability and supporting data integration initiatives. Responsibilities include troubleshooting, implementing SDLC best practices, and collaborating with stakeholders to optimize data-related outcomes.

The Data Engineer will manage data conversion projects for a legal services client, focusing on cleansing, transforming, and validating data, while developing automated solutions and collaborating with stakeholders.

As a Data Engineer, you will build and maintain data pipelines, support AI capabilities, and establish best practices for data engineering. You'll work on data ingestion, management, and automation for a scalable data platform.

The Principal Data Modeler will design and manage data models for the Marketing Data Warehouse to support data-driven marketing decisions and optimize data architecture.

The Principal Data Engineer leads the development of scalable data solutions, collaborates on product roadmaps, influences organizational change, and coaches junior staff in a hybrid work environment.

Lead the design and migration of a data platform architecture. Manage data pipelines, mentor teams, and ensure platform reliability.

The Senior Data Engineer designs and maintains data systems, develops data pipelines for ingestion and analysis, and optimizes data architecture to support business needs.

The role involves embedding with teams to drive data product onboarding, developing solutions, and enabling clients to self-serve data products with a focus on AI-assisted development and platform evolution.

The Senior Data Engineer will design, develop, and optimize data solutions for CPS, ensuring operational excellence in global supply chain data management.

The role involves designing, developing, and optimizing data solutions, maintaining data pipelines, ensuring data security, and collaborating with stakeholders for analytics and reporting needs.

As a Senior Data Engineer, you will design AI-optimized data platforms, build data pipelines, and collaborate on analytics projects, while advising clients on data architecture.

As the Director, Lead Data & Analytics Engineer, you will oversee data flow processes, enhance analytics with AI technologies, and manage product lifecycles. This includes client onboarding and utilizing various tools for data analysis and reporting. You will also drive complex technology decisions and collaborate with cross-functional teams.

Design, implement, and maintain data pipelines on cloud platforms, provide technical leadership, and ensure solutions align with customer needs.

Design and implement advanced data systems and pipelines using cloud technologies. Provide technical leadership and collaborate with clients to meet their data engineering needs.

The Senior Data Engineer at BeyondTrust designs and manages data infrastructure, creates ETL pipelines, and optimizes database performance while ensuring data governance.

This role involves designing and implementing data quality monitoring and governance for cyber datasets, collaborating with various stakeholders, and ensuring trusted data through frameworks and automated controls.

As a Lead Data Engineer, you will architect data foundations for AI applications, lead a team, optimize data pipelines, and ensure data governance.

The Senior Data Engineer will lead the development of data warehouse solutions, overseeing data applications on AWS and on-premises while collaborating with various stakeholders to meet business goals.

The Director, Lead Data & Analytics Engineer will architect and develop scalable systems, assess new projects, handle coding and reviews, and contribute to software life cycle phases.

The Sr. Data Engineer will develop and maintain data pipelines, optimize performance in Azure, and implement data governance while mentoring junior resources.

The Senior Data Engineer will build data pipelines, mentor team members, design complex data solutions, and support AI and business intelligence initiatives.